Enhancement of Spectral Efficiency in Intelligent Reflecting Surfaces (IRS's) over Distributed and Cloud-Computing Systems

The majority of computer networks and distributed systems, where cloud storage is located, experience several problems with the processes of storing these types of data, whether they are text files, audio files, video files, or other types of data, in addition to a fundamental problem, which is the inability to send and receive such data and access it from multiple points. In-depth discussions of these difficulties and suggestions for utilizing intelligent reflecting surfaces (IRSs) to improve distributed systems' data storage capacity, access speed, and acquisition will be provided in this study. In this paper, a virtual network was designed using Matlab software, where this network contains a group of IRSs to improve the performance of cloud and distributed computing by improving the speed of data transmission between the sender and receiver in addition to improving storage capacity. IRSs were used with supporting network hardware once, and again without supporting network hardware. The proposed system was implemented, and the results were very good when using IRSs without supporting hardware devices, because the presence of hardware devices may cause a defect in the data transmission process due to the problems that these devices face in their work.